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Compressed Sensing Imaging Techniques for Radio Interferometry and Cosmic String Reconstruction

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Radio interferometry probes astrophysical signals through incomplete Fourier measurements. We propose new generic imaging techniques based on convex optimization in the context of compressed sensing. The flexibility of the framework notably allows introduction of prior information on the signals, which offers the possibility of significant improvements of reconstruction relative to the standard matching pursuit algorithm CLEAN used in radio astronomy. We illustrate the potential of the approach by studying reconstruction performances on simulations of a star and galaxy intensity field and of a signal induced by cosmic strings in the CMB temperature field, observed with very generic interferometric configurations.

This talk is part of the Cavendish Astrophysics Seminars series.

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